RUC at MediaEval 2017: Predicting Media Interestingness Task
نویسندگان
چکیده
Predicting the interestingness of images or videos can greatly improve people’s satisfaction in many applications, such as video retrieval and recommendations. In this paper, we present our methods in the 2017 Predicting Media Interestingness Task. We propose deep ranking model based on aural and visual modalities which simulates the human annotation procedures for more reliable interestingness prediction.
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